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IEEE/ICACT20200192 Slide.20        [Big Slide]       [YouTube]	Oral Presentation
	All cases of k demonstrates a lower RMSE in our algorithm compared to both other filtering's (Table 3). Besides, averagely 4.56% lower RMSE compared to CF indicates that by using additional information of item features, our method alleviates the problem of new item cold start.

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